Search results for "Dynamical Systems"

showing 10 items of 476 documents

Noise-induced behavioral change driven by transient chaos

2022

We study behavioral change in the context of a stochastic, non-linear consumption model with preference adjusting, interdependent agents. Changes in long-run consumption behavior are modelled as noise induced transitions between coexisting attractors. A particular case of multistability is considered: two fixed points, whose immediate basins have smooth boundaries, coexist with a periodic attractor, with a fractal immediate basin boundary. If a trajectory leaves an immediate basin, it enters a set of complexly intertwined basins for which final state uncertainty prevails. The standard approach to predicting transition events rooted in the stochastic sensitivity function technique due to Mil…

CO-EXISTING ATTRACTORSVDP::Samfunnsvitenskap: 200::Økonomi: 210::Økonometri: 214General MathematicsApplied MathematicsGeneral Physics and AstronomyMULTISTABILITYBEHAVIORAL CHANGESNON-ATTRACTING CHAOTIC SETStatistical and Nonlinear PhysicsSTOCHASTIC DYNAMICSSTOCHASTIC SYSTEMSNON-ATTRACTING CHAOTIC SETSSTATISTICSVDP::Samfunnsvitenskap: 200::Økonomi: 210CHAOTIC SETSDYNAMICAL SYSTEMSNOISE-INDUCED TRANSITIONCRITICAL LINESCONSUMER BEHAVIORSTOCHASTIC MODELSCONFIDENCE REGIONFORECASTINGNOISE-INDUCED TRANSITIONSTRANSIENT CHAOS
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A Review of Mathematical and Computational Methods in Cancer Dynamics.

2022

Cancers are complex adaptive diseases regulated by the nonlinear feedback systems between genetic instabilities, environmental signals, cellular protein flows, and gene regulatory networks. Understanding the cybernetics of cancer requires the integration of information dynamics across multidimensional spatiotemporal scales, including genetic, transcriptional, metabolic, proteomic, epigenetic, and multi-cellular networks. However, the time-series analysis of these complex networks remains vastly absent in cancer research. With longitudinal screening and time-series analysis of cellular dynamics, universally observed causal patterns pertaining to dynamical systems, may self-organize in the si…

Cancer Researchinverse problemssystems oncologyFOS: Physical sciencescomplex networksdynamical systemsOther Quantitative Biology (q-bio.OT)Nonlinear Sciences - Chaotic DynamicsalgorithmsQuantitative Biology - Other Quantitative BiologyOncologyFOS: Biological sciencescancerChaotic Dynamics (nlin.CD)complexity scienceinformation theory
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IFS attractors and Cantor sets

2006

Abstract We build a metric space which is homeomorphic to a Cantor set but cannot be realized as the attractor of an iterated function system. We give also an example of a Cantor set K in R 3 such that every homeomorphism f of R 3 which preserves K coincides with the identity on K.

Cantor's theoremDiscrete mathematicsMathematics::Dynamical SystemsAntoine's necklaceCantor set[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]010102 general mathematicsMathematics::General TopologyCantor function01 natural sciences010101 applied mathematicsCombinatoricsNull setCantor setsymbols.namesakeMetric spaceAttractorsymbolsGeometry and Topology0101 mathematicsAntoine's necklaceCantor's diagonal argumentIterated function systemMathematicsTopology and its Applications
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Topological Decompositions of the Pauli Group and their Influence on Dynamical Systems

2021

In the present paper we show that it is possible to obtain the well known Pauli group $P=\langle X,Y,Z \ | \ X^2=Y^2=Z^2=1, (YZ)^4=(ZX)^4=(XY)^4=1 \rangle $ of order $16$ as an appropriate quotient group of two distinct spaces of orbits of the three dimensional sphere $S^3$. The first of these spaces of orbits is realized via an action of the quaternion group $Q_8$ on $S^3$; the second one via an action of the cyclic group of order four $\mathbb{Z}(4)$ on $S^3$. We deduce a result of decomposition of $P$ of topological nature and then we find, in connection with the theory of pseudo-fermions, a possible physical interpretation of this decomposition.

Central productsHamiltoniansPhysicsDynamical systems theoryActions of groups010102 general mathematicsQuaternion groupFOS: Physical sciencesCyclic groupMathematical Physics (math-ph)Pseudo-fermionsTopology01 natural sciencesInterpretation (model theory)Pauli groups0103 physical sciencesPauli groupOrder (group theory)Geometry and Topology0101 mathematicsConnection (algebraic framework)010306 general physicsQuotient groupMathematical PhysicsMathematical Physics, Analysis and Geometry
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Symbolic control for underactuated differentially flat systems

2006

In this paper we address the problem of generating input plans to steer complex dynamical systems in an obstacle-free environment. Plans considered admit a finite description length and are constructed by words on an alphabet of input symbols, which could be e.g. transmitted through a limited capacity channel to a remote system, where they can be decoded in suitable control actions. We show that, by suitable choice of the control encoding, finite plans can be efficiently built for a wide class of dynamical systems, computing arbitrarily close approximations of a desired equilibrium in polynomial time. Moreover, we illustrate by simulations the power of the proposed method, solving the steer…

Channel capacityNonlinear systemCapacity planningSettore ING-INF/04 - AutomaticaDynamical systems theoryControl theoryUnderactuationControl systemdynamic systemSymbolic controlMotion controlTime complexityMathematicsProceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.
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Self-assembly and rheology of dipolar colloids in simple shear studied using multi-particle collision dynamics.

2017

Magnetic nanoparticles in a colloidal solution self-assemble in various aligned structures, which has a profound influence on the flow behavior. However, the precise role of the microstructure in the development of the rheological response has not been reliably quantified. We investigate the self-assembly of dipolar colloids in simple shear using hybrid molecular dynamics and multi-particle collision dynamics simulations with explicit coarse-grained hydrodynamics, conduct simulated rheometric studies and apply micromechanical models to produce master curves, showing evidence of the universality of the structural behavior governed by the competition between the bonding (dipolar) and erosive …

ChemistryPhysical system02 engineering and technologyGeneral ChemistryMechanics021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesUniversality (dynamical systems)Simple shearDipoleMolecular dynamicsRheologyComputational chemistry0103 physical sciencesMagnetic nanoparticlesMulti-particle collision dynamics010306 general physics0210 nano-technologySoft matter
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Overlapping self-affine sets of Kakeya type

2009

We compute the Minkowski dimension for a family of self-affine sets on the plane. Our result holds for every (rather than generic) set in the class. Moreover, we exhibit explicit open subsets of this class where we allow overlapping, and do not impose any conditions on the norms of the linear maps. The family under consideration was inspired by the theory of Kakeya sets.

Class (set theory)Applied MathematicsGeneral Mathematics010102 general mathematicsMinkowski–Bouligand dimensionDynamical Systems (math.DS)Type (model theory)16. Peace & justice01 natural sciencesCombinatoricsSet (abstract data type)Mathematics - Classical Analysis and ODEs0103 physical sciencesClassical Analysis and ODEs (math.CA)FOS: Mathematics28A80 37C45010307 mathematical physicsAffine transformationMathematics - Dynamical Systems0101 mathematicsMathematicsErgodic Theory and Dynamical Systems
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THE TOPOLOGY OF BASIN BOUNDARIES IN A CLASS OF THREE-DIMENSIONAL DYNAMICAL SYSTEMS

1996

We will develop new methods to determine the topology of the basin boundary in a class of three-dimensional dynamical systems. One approach is to approximate the basin boundary by backward integration. Unfortunately, there are dynamical systems where it is hard to approximate the basin boundary by a numerical backward integration algorithm. We will introduce topological methods which will provide new information about the structure of the basin boundary. The topological invariants which we will use can be numerically computed.

Class (set theory)Dynamical systems theoryComputingMethodologies_SIMULATIONANDMODELINGApplied MathematicsStructure (category theory)Boundary (topology)ComputerApplications_COMPUTERSINOTHERSYSTEMSStructural basinTopologyModeling and SimulationTopological invariantsIntegration algorithmEngineering (miscellaneous)Physics::Atmospheric and Oceanic PhysicsTopology (chemistry)MathematicsInternational Journal of Bifurcation and Chaos
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Approximating hidden chaotic attractors via parameter switching.

2018

In this paper, the problem of approximating hidden chaotic attractors of a general class of nonlinear systems is investigated. The parameter switching (PS) algorithm is utilized, which switches the control parameter within a given set of values with the initial value problem numerically solved. The PS-generated attractor approximates the attractor obtained by averaging the control parameter with the switched values, which represents the hidden chaotic attractor. The hidden chaotic attractors of a generalized Lorenz system and the Rabinovich-Fabrikant system are simulated for illustration. In Refs. 1–3, it is proved that the attractors of a chaotic system, considered as the unique numerical …

Class (set theory)Mathematics::Dynamical SystemsChaoticGeneral Physics and AstronomyFOS: Physical sciences01 natural sciences010305 fluids & plasmasSet (abstract data type)phase space methods0103 physical sciencesAttractorApplied mathematicsInitial value problemdifferentiaalilaskenta010301 acousticsMathematical PhysicsMathematicsApplied Mathematicsta111numerical approximationsStatistical and Nonlinear Physicschaotic systemsLorenz systemchaoticNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsNonlinear systemkaaosnumeerinen analyysinonlinear systemsChaotic Dynamics (nlin.CD)Chaos (Woodbury, N.Y.)
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The arithmetic decomposition of central Cantor sets

2018

Abstract Every central Cantor set of positive Lebesgue measure is the arithmetic sum of two central Cantor sets of Lebesgue measure zero. Under some mild condition this result can be strengthened by stating that the summands can be chosen to be C s regular if the initial set is of this class.

Class (set theory)Mathematics::Dynamical SystemsLebesgue measureApplied Mathematics010102 general mathematicsZero (complex analysis)Analysi02 engineering and technology01 natural sciencesCentral Cantor setCantor setCombinatoricsSet (abstract data type)Arithmetic progression0202 electrical engineering electronic engineering information engineeringDecomposition (computer science)Palis hypothesiArithmetic decomposition020201 artificial intelligence & image processing0101 mathematicsComputer Science::DatabasesAnalysisMathematicsJournal of Mathematical Analysis and Applications
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